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http://dx.doi.org/10.5351/CKSS.2004.11.3.519

Suppression and Collapsibility for Log-linear Models  

Sun, Hong-Chong (Department of Statistics, Sungkyunkwan University)
Publication Information
Communications for Statistical Applications and Methods / v.11, no.3, 2004 , pp. 519-527 More about this Journal
Abstract
Relationship between the partial likelihood ratio statistics for logisitic models and the partial goodness-of-fit statistics for corresponding log-linear models is discussed. This paper shows how definitions of suppression in logistic model can be adapted for log-linear model and how they are related to confounding in terms of collapsibility for categorical data. Several $2{times}2{times}2$ contingency tables are illustrated.
Keywords
Confounding; Goodness-of-fit statistic; Logistic; Likelihood ratio statistic; Suppressor variable;
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